Special Issue "Automotive User Interfaces and Interactions in Automated Driving"

A special issue of Information (ISSN 2078-2489).

Deadline for manuscript submissions: 30 June 2019

Special Issue Editors

Guest Editor
Prof. Dr.-Ing. Gerrit Meixner

Usability and Interaction Technology Laboratory (UniTyLab), Heilbronn University, 74081 Heilbronn, Germany
Website | E-Mail
Interests: human computer interaction; innovative interaction technologies, usability engineering
Guest Editor
Dr. Ignacio Alvarez

Autonomous Driving Research, Intel Labs, Intel Corporation
Website | E-Mail
Interests: automated driving; artificial intelligence; human computer interaction; user experience; user interface design

Special Issue Information

Dear Colleagues,

This special issue journal is about automotive user interfaces. In the last years, the importance of user interfaces for in-vehicle usage has increased strongly. Different studies show that over 80% of today’s innovations in the automotive industry are based on car electronics and its software. These innovations can be categorized into hidden technologies (e.g., ASP, ESP), comfort functions (e.g., navigation, communication, entertainment) or driver assistance (e.g., distance checking). Especially the last two categories have to be configurable by the driver and therefore require a certain amount of driver interaction. This results in a need for a modern and consistent automotive user interface which on one hand allows the configuration of these systems but which on the other hand conforms to the specialized requirements of the automotive industry. Some of these requirements are: the interaction devices have to be integrated into a limited space; the automotive user interface has to be intuitively usable and adaptable, since drivers generally do not get an extensive explanation and the automotive user interface has to be very easy to use and should distract the driver as little as possible from his main task of driving. The increased complexity of automotive user interfaces, the importance of using consumer electronic devices like e.g. smartphones in the car as well as autonomous driving and e-vehicles has induced a lot of research at universities and industrial companies.

Therefore, we would like to gather your new research in a special issue journal to bring together the leading researchers and practitioners in the field of automotive user interfaces from the traditional field of automotive OEMs and suppliers as well as from modern IT companies.

Prof. Gerrit Meixner
Dr. Ignacio Alvarez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Automotive User Interface
  • Human-Computer-Interaction
  • Multi-modal, speech, audio, gestural, natural input/output
  • Autonomous and Electric vehicle interfaces
  • Driver performance / driver behavior
  • Interactions with semi and fully-automated vehicles
  • Human-Vehicle cooperation in (partially) automated vehicles
  • Impact of human-machine interfaces on driver situation awareness
  • Vehicle occupant monitoring systems
  • Effect of exterior human-machine interfaces on road users’ behavior
  • Adaptive / Learning vehicle assistance systems
  • Trust in Automation
  • Perceptions of Safety in Automated Driving

Published Papers (1 paper)

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Research

Open AccessArticle User Education in Automated Driving: Owner’s Manual and Interactive Tutorial Support Mental Model Formation and Human-Automation Interaction
Information 2019, 10(4), 143; https://doi.org/10.3390/info10040143
Received: 22 March 2019 / Revised: 7 April 2019 / Accepted: 15 April 2019 / Published: 17 April 2019
PDF Full-text (2422 KB) | HTML Full-text | XML Full-text
Abstract
Automated driving systems (ADS) and a combination of these with advanced driver assistance systems (ADAS) will soon be available to a large consumer population. Apart from testing automated driving features and human–machine interfaces (HMI), the development and evaluation of training for interacting with [...] Read more.
Automated driving systems (ADS) and a combination of these with advanced driver assistance systems (ADAS) will soon be available to a large consumer population. Apart from testing automated driving features and human–machine interfaces (HMI), the development and evaluation of training for interacting with driving automation has been largely neglected. The present work outlines the conceptual development of two possible approaches of user education which are the owner’s manual and an interactive tutorial. These approaches are investigated by comparing them to a baseline consisting of generic information about the system function. Using a between-subjects design, N = 24 participants complete one training prior to interacting with the ADS HMI in a driving simulator. Results show that both the owner’s manual and an interactive tutorial led to an increased understanding of driving automation systems as well as an increased interaction performance. This work contributes to method development for the evaluation of ADS by proposing two alternative approaches of user education and their implications for both application in realistic settings and HMI testing. Full article
(This article belongs to the Special Issue Automotive User Interfaces and Interactions in Automated Driving)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: User Education in Driving Automation: Conceptual Evaluation and Implications for Development
Author: Yannick Forster, Sebastian Hergeth, Frederik Naujoks, Josef F. Krems and Andreas Keinath
Affliation: BMW Group, Munich, Germany
Abstract: Automated Driving Systems (ADS) will soon be available to a large consumer population. Apart from testing automated driving features and Human-Machine Interfaces (HMI), the development and evaluation of trainings for interacting with driving automation has been largely neglected. The present work outlines the conceptual development of two possible approaches of consumer education which are the owner's manual and an interactive tutorial. These approaches are investigated in comparison to a baseline consisting of generic information of the system function (cf. SAE, 2018). In a between-subjects design, N=21 participants completed one training prior to interacting with the ADS HMI in a driving simulator. This work reports the results of different trainings on interaction performance and discusses the implications for future application and development.

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